Publications
2024
Language Models Still Struggle to Zero-shot Reason about Time Series.
Preprint.
SPML: A DSL for Defending Language Models Against Prompt Attacks.
Preprint.
Defending Language Models Against Image-Based Prompt Attacks via User-Provided Specifications.
Security Architectures for Generative Artificial Intelligence Workshop (SAGAI) at IEEE S&P, 2024.
2023
Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing.
ACM Transactions on Intelligent Systems and Technology (TIST), 2023.
Tapestry of Time and Actions: Modeling Human Activity Sequences using Temporal Point Process Flows.
ACM Transactions on Intelligent Systems and Technology (TIST), 2023.
Modeling Spatial Trajectories using Coarse-Grained Smartphone Logs.
IEEE Transactions on Big Data (TBD), 2023.
Teaching Old DB Neural Tricks: Learning Embeddings on Multi-tabular Databases.
Joint International Conference on Data Science & Management of Data (CODS-COMAD), 2023.
2022
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences.
AAAI Conference on Artificial Intelligence (AAAI), 2022.
ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences.
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022.
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes.
ACM Transactions on Intelligent Systems and Technology (TIST), 2022.
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer.
ACM Transactions on Intelligent Systems and Technology (TIST), 2022.
A Neural Approach for Modeling Continuous Time Sequences with Intermittent Observations.
ACM India Academic Research and Careers for Students Symposium (ARCS), 2022.
Modeling Human Actions in Time-Stamped Activity Sequences.
Applied Machine Learning for Time Series Forecasting Workshop (AMLTS) at CIKM, 2022.
Advances in NLP Research for Automated Business Intelligence.
Tutorial at International Conference on Natural Language Processing (ICON), 2022.
2021
Learning Temporal Point Processes with Intermittent Observations.
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021.
Region Invariant Normalizing Flows for Mobility Transfer.
ACM International Conference on Information and Knowledge Management (CIKM), 2021.
Learning Neural Models for Continuous-Time Sequences.
International Conference on AI-ML-Systems, Doctoral Symposium, 2021.
[Paper]   Outstanding Doctoral Paper Award
2020 and before
Modeling Implicit Communities from Geo-tagged Event Traces using Spatio-Temporal Point Processes.
International Conference on Web Information Systems Engineering (WISE), 2020.